What authentication methods are supported?
The server supports both Basic Authentication and OAuth. Set `SN_AUTH_METHOD` in `config.py` to either `"basic"` or `"oauth"` and provide the corresponding credentials.
@mady22070
基本信息
This MCP Server for ServiceNow is designed to be both generic and extensible. It leverages a modular approach to handle a wide range of ServiceNow use cases, from core ITSM operations to advanced CMDB management and dynamic workflow orchestration.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"ServiceNowMCPServer": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCP Server for ServiceNow is a generic, modular, and extensible MCP integration that exposes ServiceNow capabilities as tools for AI agents and external systems. It covers ITSM, ITOM, SAM, HAM, Enhanced CMDB, PPM, Employee Experience, Reporting, Analytics, dynamic tool registration, and workflow orchestration.
Clone the repository, create a Python 3.7+ virtual environment, install dependencies (requests, fastapi, uvicorn, MCP SDK), set your ServiceNow instance URL and authentication method (basic or OAuth) in config.py, then run python main.py to start the server using standard I/O transport. Tools are invoked by sending JSON payloads specifying the tool name and arguments.
The server supports both Basic Authentication and OAuth. Set `SN_AUTH_METHOD` in `config.py` to either `"basic"` or `"oauth"` and provide the corresponding credentials.
Python 3.7 or higher is required, along with the packages `requests`, `fastapi`, `uvicorn`, and the MCP SDK.
Tools are invoked by sending a JSON payload with a `name` field (the tool name) and an `arguments` object matching the tool’s input schema. The server uses standard I/O transport for development and testing.
Yes, the `dynamic_tools` module allows registration, deregistration, and listing of new tools at runtime without server restart.
The MCP server uses standard I/O transport when started via `python main.py`, making it suitable for development and testing with MCP-compatible clients.
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